Institution
Paul Sabatier University
Education•Toulouse, France•
About: Paul Sabatier University is a education organization based out in Toulouse, France. It is known for research contribution in the topics: Population & Adipose tissue. The organization has 15431 authors who have published 23386 publications receiving 858364 citations.
Papers published on a yearly basis
Papers
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TL;DR: The authors argue that some relations are classified as subordinating or coordinating by default, a default that can be overridden in specific contexts, and that the distinction between subordinating and coordinating relations thus belongs to the level of information packaging in discourse and not to information content or the semantics of the relations themselves.
173 citations
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TL;DR: It is shown that exercise training upregulates muscle apelin expression in obese subjects and may behave as a novel exercise-regulated myokine with autocrine/paracrine action.
Abstract: Effect of endurance training on skeletal muscle myokine expression in obese men: identification of apelin as a novel myokine
173 citations
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TL;DR: The iBox system showed accuracy when assessed at different times of evaluation post-transplant, was validated in different clinical scenarios, and outperformed previous risk prediction scores as well as a risk score based solely on functional parameters including estimated glomerular filtration rate and proteinuria.
Abstract: Objective To develop and validate an integrative system to predict long term kidney allograft failure. Design International cohort study. Setting Three cohorts including kidney transplant recipients from 10 academic medical centres from Europe and the United States. Participants Derivation cohort: 4000 consecutive kidney recipients prospectively recruited in four French centres between 2005 and 2014. Validation cohorts: 2129 kidney recipients from three centres in Europe and 1428 from three centres in North America, recruited between 2002 and 2014. Additional validation in three randomised controlled trials (NCT01079143, EudraCT 2007-003213-13, and NCT01873157). Main outcome measure Allograft failure (return to dialysis or pre-emptive retransplantation). 32 candidate prognostic factors for kidney allograft survival were assessed. Results Among the 7557 kidney transplant recipients included, 1067 (14.1%) allografts failed after a median post-transplant follow-up time of 7.12 (interquartile range 3.51-8.77) years. In the derivation cohort, eight functional, histological, and immunological prognostic factors were independently associated with allograft failure and were then combined into a risk prediction score (iBox). This score showed accurate calibration and discrimination (C index 0.81, 95% confidence interval 0.79 to 0.83). The performance of the iBox was also confirmed in the validation cohorts from Europe (C index 0.81, 0.78 to 0.84) and the US (0.80, 0.76 to 0.84). The iBox system showed accuracy when assessed at different times of evaluation post-transplant, was validated in different clinical scenarios including type of immunosuppressive regimen used and response to rejection therapy, and outperformed previous risk prediction scores as well as a risk score based solely on functional parameters including estimated glomerular filtration rate and proteinuria. Finally, the accuracy of the iBox risk score in predicting long term allograft loss was confirmed in the three randomised controlled trials. Conclusion An integrative, accurate, and readily implementable risk prediction score for kidney allograft failure has been developed, which shows generalisability across centres worldwide and common clinical scenarios. The iBox risk prediction score may help to guide monitoring of patients and further improve the design and development of a valid and early surrogate endpoint for clinical trials. Trial registration Clinicaltrials.gov NCT03474003.
173 citations
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TL;DR: This special issue aims to highlight the benefits of social network analysis for the study of primate behaviour, assessing it's suitability for analyzing individual social characteristics as well as group/population patterns.
Abstract: When living in a group, individuals have to make trade-offs, and compromise, in order to balance the advantages and disadvantages of group life. Strategies that enable individuals to achieve this typically affect inter-individual interactions resulting in nonrandom associations. Studying the patterns of this assortativity using social network analyses can allow us to explore how individual behavior influences what happens at the group, or population level. Understanding the consequences of these interactions at multiple scales may allow us to better understand the fitness implications for individuals. Social network analyses offer the tools to achieve this. This special issue aims to highlight the benefits of social network analysis for the study of primate behaviour, assessing it's suitability for analyzing individual social characteristics as well as group/population patterns. In this introduction to the special issue, we first introduce social network theory, then demonstrate with examples how social networks can influence individual and collective behaviors, and finally conclude with some outstanding questions for future primatological research. Am. J. Primatol. 73:703–719, 2011. © 2011 Wiley-Liss, Inc.
173 citations
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TL;DR: PFM shows that podosomes are mechanosensing cell structures exerting a protrusive force that increases with the stiffness of the substratum, which is a hallmark of mechanos sensing activity.
Abstract: Podosomes are adhesion structures formed in monocyte-derived cells. They are F-actin-rich columns perpendicular to the substrate surrounded by a ring of integrins. Here, to measure podosome protrusive forces, we designed an innovative experimental setup named protrusion force microscopy (PFM), which consists in measuring by atomic force microscopy the deformation induced by living cells onto a compliant Formvar sheet. By quantifying the heights of protrusions made by podosomes onto Formvar sheets, we estimate that a single podosome generates a protrusion force that increases with the stiffness of the substratum, which is a hallmark of mechanosensing activity. We show that the protrusive force generated at podosomes oscillates with a constant period and requires combined actomyosin contraction and actin polymerization. Finally, we elaborate a model to explain the mechanical and oscillatory activities of podosomes. Thus, PFM shows that podosomes are mechanosensing cell structures exerting a protrusive force.
172 citations
Authors
Showing all 15486 results
Name | H-index | Papers | Citations |
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Yury Gogotsi | 171 | 956 | 144520 |
Tobin J. Marks | 159 | 1621 | 111604 |
L. Montier | 138 | 403 | 97094 |
Jean-Paul Kneib | 138 | 805 | 89287 |
Olivier Forni | 137 | 548 | 95819 |
J. Aumont | 131 | 299 | 95006 |
Julian I. Schroeder | 120 | 315 | 50323 |
Bruno Vellas | 118 | 1011 | 70667 |
Christopher G. Goetz | 116 | 651 | 59510 |
Didier Dubois | 113 | 742 | 54741 |
Alain Dufresne | 111 | 358 | 45904 |
Henri Prade | 108 | 917 | 54583 |
Louis Bernatchez | 106 | 568 | 35682 |
Walter Wahli | 105 | 365 | 49372 |
Patrice D. Cani | 100 | 370 | 49523 |